Top AI Stocks to Buy Now (Even Over Nvidia Stock!)

Introduction to the Impact of Artificial Intelligence

In this section, the speaker introduces the topic of artificial intelligence (AI) and its significant impact on our lives. The potential market opportunity for AI is highlighted.

The Influence of AI on Our Lives

• AI is already changing our lives in a similar way to how smartphones and personal computers have done in the past.

• The speaker emphasizes that understanding the science behind stocks related to AI can provide an advantage for investors.

• Arc Invest's research on AI breakthroughs and investment opportunities is highly regarded.

Importance of Understanding Stocks and Disruptors

This section emphasizes the importance of understanding stocks and differentiating between disruptors and companies being disrupted.

Differentiating Between Disruptors and Companies Being Disrupted

• Distinguishing between disruptors and companies being disrupted can give investors a significant advantage.

• Arc Invest has been successful in identifying disruptive technologies, such as Nvidia, which was initially undervalued but experienced substantial growth due to its applications beyond gaming.

Arc Invest's Research on Mispriced Stocks

This section discusses Arc Invest's research on mispriced stocks related to AI applications.

Identifying Mispriced Stocks with AI Applications

• Arc Invest recognized early on that GPUs (graphics processing units) had applications beyond gaming, such as self-driving technology.

• They published articles explaining their research findings and reasoning behind buying these mispriced stocks.

• By tracking Arc Invest's trades over time, interesting patterns can be observed regarding their investments in AI-related companies.

Tracking Arc Invest's Trades

This section focuses on tracking Arc Invest's trades and highlights some of the stocks they have been buying.

Tracking Arc Invest's Trades

• Arc Invest currently has over $13 billion in assets under management, which has increased by around 6% from the start of the quarter.

• The video introduces a tool called "Arc Invest Tracker" that allows users to see which stocks Arc Invest has been buying.

• The biggest new positions for Quarter Two across all of Arc Invest's funds combined include Palantir, Meta Platforms, Taiwan Semiconductor, The Trade Desk, Pure Storage, and Sofi.

Importance of Share Account Increase

This section emphasizes the significance of tracking share account increases in determining potential investment opportunities.

Significance of Share Account Increase

• Share account increase indicates that Arc Invest sees potential in certain companies regardless of short-term stock performance.

• Examples include Joby Aviation, Teradyne, CrowdStrike, Cloudflare, and Prime Medicine.

• These companies are worth further investigation for those interested in disruptive innovators.

Using MooMoo App for Real-Time Insights

This section introduces the MooMoo trading app as a useful tool for advanced investors to gain real-time insights into institutional investments.

Utilizing MooMoo App for Investment Insights

• MooMoo is a trading app designed to help advanced investors find great stocks at great prices.

• One notable feature is the institutional tracker that provides information on industries institutions are investing in and recent buying and selling activities.

Free Stocks and Cash Bonus

The speaker discusses an offer to receive free stocks valued up to $2000, a $100 cash bonus, and a free share of C3 AI by signing up using their link. Additionally, if you deposit at least $5000, you can get a free share of Tesla or Google.

• Use the provided link to sign up and receive free stocks and cash bonus.

• Keep your funds at the required level for 60 days to enjoy up to 17 free stocks.

• This offer is ending soon, so it's important to get started today.

Understanding Stock Selling Patterns

The speaker explains how Arc Invest sells stocks based on their price movements. Selling a declining stock indicates low long-term conviction, while selling a stock that has significantly increased in price allows them to lock in gains and reinvest elsewhere.

• When Arc Invest sells a declining stock, it suggests they have low long-term conviction.

• Selling a stock that has significantly increased in price allows them to lock in gains.

• Some of their biggest positions like Shopify, Exact Sciences, and Nvidia were sold after significant price increases.

Learning from Arc Invest's Perspective

Instead of criticizing Arc Invest for selling Nvidia stock before its price tripled, the speaker aims to understand their side of the story. By doing so, we can learn from their investment strategies and become better investors ourselves.

• Rather than calling out Arc Invest for what may seem like a bad trade with Nvidia stock, it is more productive to understand their perspective.

• The goal is not about being right but rather becoming better investors together.

Historical Perspective on Computing Architecture Shifts

Frank Downing from Arc Invest provides historical context on shifts in computing architecture. He highlights the importance of both hardware and software companies in generating revenue and profits during these shifts.

• The transition from mainframe to personal computing in the 90s saw companies like Intel and Cisco excel on the hardware side, while Microsoft surpassed them in revenue with software products like Windows and Office.

• Similarly, during the shift from personal computing to mobile computing, Qualcomm and ARM succeeded on the hardware side, but Google and Apple became trillion-dollar companies by offering software services.

• With the current shift towards AI, Nvidia is capturing value on the hardware side, but there will be opportunities for device companies and new software solutions in the future.

Value Accrual in Computing Architecture Shifts

The speaker emphasizes that historical patterns show how value accrues differently between hardware and software companies during major shifts in computing architecture. Understanding this pattern can help identify where value may accrue next.

• During previous shifts, such as from mainframe computers to PCs or from PCs to mobile devices, hardware companies initially captured value but were eventually surpassed by software companies in terms of revenue and profits.

• Currently, Nvidia is capturing value as a hardware company in the AI space. However, it is important to consider where future value may accrue as new devices emerge along with innovative software solutions.

Arc Invest's Investment Strategy

The speaker discusses Arc Invest's investment strategy by exploring what they are buying after selling Nvidia stock.

• To understand what Arc Invest is buying after selling Nvidia stock, refer to another clip for more information.

The Productivity Uplift of AI in Various Professions

In this section, the speaker discusses how AI can automate tasks and increase productivity in various professions. They provide examples from software engineering and highlight the potential for AI to double or even quintuple productivity.

Increasing Automation by AI

• Tasks that are increasingly automatable by AI include writing software code, creating spreadsheets, and reviewing legal agreements.

• GitHub's study shows that software engineers using GitHub Copilot, an AI coding assistant, are twice as productive as those who do not use AI.

• Replit, a startup, reports that up to 80% of new code on their platform is generated by AI coding assistance, resulting in a 5x productivity uplift.

Potential Impact on Job Categories

• The speaker believes that the increased productivity seen in software engineering is representative of what we will see across many job categories such as doctors, lawyers, and software engineers.

• By 2030, it is estimated that AI could increase the productivity of knowledge workers by more than fourfold.

• This would result in over $100 trillion dollars in value created by AI software specifically.

Value Capture Opportunity for Software Companies

• Historically, enterprise software companies capture between 10% and 25% of the value created by their software.

• Applying this to the estimated $100 trillion value creation from AI would mean that software companies should be able to capture between $10 trillion and $25 trillion per year in revenue.

Criteria for Selecting Companies to Invest In

In this section, the speaker explains three variables they consider when selecting companies to invest in. These variables include proprietary data, distribution advantage, and leadership.

Variables for Investment Selection

1. Proprietary Data:

• Companies with a proprietary data set that allows them to train or fine-tune AI models specifically for their use case are considered well-positioned.

• The presence of a data feedback loop, where the system learns from human intervention and improves its performance, is highly valuable.

2. Distribution Advantage:

• Companies already deployed within an enterprise have an advantage in distributing AI features and products compared to new challengers.

• Existing customer relationships, like Twilio's Fortune 500 customers, make it easier to upgrade software with AI functionality.

3. Leadership:

• Founders who understand the AI opportunity and are aggressively pursuing it are preferred.

• Founder-led companies often demonstrate a willingness to start from scratch and adapt to the changing landscape.

The Future of Highly Paid Professions with AI

In this section, the speaker discusses the potential impact of AI on highly paid professions such as software engineers, lawyers, and doctors. They emphasize the economic value that can be generated by AI and highlight companies in Arc Invest's portfolio that align with these trends.

Productivity Boost in Highly Paid Professions

• A projected 4x productivity boost is expected for highly paid professions like software engineers, lawyers, and doctors due to advancements in AI.

• This will result in significant economic value creation.

Arc Invest's Investment Strategy

• Arc Invest has invested in companies like Tesla, UiPath, Coinbase, Roku, and Zoom that align with the trends discussed.

• These companies collect proprietary data in their respective fields and have distribution advantages.

• Most of these companies are still founder-led, which contributes to their ability to win markets at any cost.

Success of Established Companies

• Established companies like Tesla Meta Platforms (formerly Facebook), and Nvidia have achieved trillion-dollar valuations by leveraging proprietary data, distribution advantages, and being founder-led.

• These companies demonstrate that size is not a barrier to success in the AI market.

Conclusion and Final Thoughts

In this section, the speaker concludes by reiterating the immense market opportunity presented by AI and emphasizes the importance of proprietary data, distribution advantage, and leadership in capturing value.

Market Opportunity and Investment Strategy

• The speaker reaffirms that AI represents a $100 trillion market opportunity.

• Future software companies are expected to capture a significant portion of this value.

• Arc Invest's investment strategy focuses on companies with proprietary data, distribution advantages, and founder-led leadership.

Importance of Proprietary Data, Distribution Advantage, and Leadership

• Proprietary data allows companies to train AI models specifically for their use case.

• Distribution advantages enable easier deployment of AI features within existing customer bases.

• Founder-led leadership demonstrates a willingness to adapt and pursue opportunities aggressively.

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The speaker thanks the viewers for watching and mentions that the content is free. They encourage viewers to like the video and subscribe to the channel for more research.

Introduction

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• They mention that the content is completely free.

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• Subscribing will help them put out more research in the future.

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